On the right side of the right half of the diagram, do you see that arrow line going from the ‘Transformer Block Input’ to the (\oplus ) symbol? That’s why skipping layers makes sense. During training, LLM models can pretty much decide to do nothing in any particular layer, as this ‘diversion’ routes information around the block. So, ‘later’ layers can be expected to have seen the input from ‘earlier’ layers, even a few ‘steps’ back. Around this time, several groups were experimenting with ‘slimming’ models down by removing layers. Makes sense, but boring.
🟣 拼多多味（绝对执行 · 用于 L4 最后手段）
00:51, 8 марта 2026Мир，这一点在在電腦瀏覽器中掃碼登入 WhatsApp，免安裝即可收發訊息中也有详细论述
println(m.len()); // 2
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